Operation analysis system, operation analysis apparatus, operation analysis method, and non-transitory recording medium

Plain English Translation

This invention relates to an operation analysis method and a non-transitory recording medium storing a program for executing the method. The method is designed to analyze operations performed by a user on an information processing apparatus, such as a computer or mobile device, to improve efficiency, detect anomalies, or optimize workflows. The core problem addressed is the lack of automated tools to accurately track, analyze, and interpret user operations in real-time or near-real-time, which is crucial for applications like user behavior analysis, cybersecurity, and productivity enhancement. The method involves capturing operation data from the information processing apparatus, where the data includes inputs, system responses, and contextual information. The captured data is then processed to extract relevant features, such as input patterns, timing, and system state changes. These features are analyzed to identify trends, anomalies, or inefficiencies in the user's operations. The analysis may involve statistical methods, machine learning, or rule-based systems to classify or predict user behavior. The results can be used to generate reports, trigger alerts, or suggest optimizations. The non-transitory recording medium stores a program that, when executed by one or more processors, performs the operation analysis method. This ensures that the analysis can be conducted automatically and consistently, without manual intervention. The medium may be any digital storage device, such as a hard drive, SSD, or cloud storage, capable of storing executable code. The program is designed to be compatible with various information processing apparatuses, allowing for broad applicability across different devices and use cases.